A Novel System for Surveillance of Moving Objects. Surveillance of moving objects is critical in numerous applications such as detection and recognition of motor vehicles. It is important for detection to be fast and accurate with low cost. In this project, we aim to implement a surveillance system consisting of an efficient algorithm on a PC network with a camera. Our detection algorithm will be achieved with an advanced and computationally powerful image representation for fast computation. It ....A Novel System for Surveillance of Moving Objects. Surveillance of moving objects is critical in numerous applications such as detection and recognition of motor vehicles. It is important for detection to be fast and accurate with low cost. In this project, we aim to implement a surveillance system consisting of an efficient algorithm on a PC network with a camera. Our detection algorithm will be achieved with an advanced and computationally powerful image representation for fast computation. Its accuracy will be enhanced by adapting a well recognized theory for fast removal of image noise. Our implementation on the PC network will provide a flexible and extensible platform for parallel computing to further reduce detection time while keeping costs low.Read moreRead less
Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of grea ....Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of great importance to Australia's security and safety. The outcome of this research will provide the first steps towards formulating the next generation recognition systems that will improve the suitability of the face recognition for use in security, surveillance, intelligent robotics, banking, and smart environments.Read moreRead less
Sound and Shape Synthesis Using Tensegrity Particle Systems. Pixar's Toy Story amazed audiences with its computer-generated images, yet the sound was still composed and ?tuned? almost wholly by human hand. In industry, virtual reality systems are increasingly applied to simulation and visualisation but, in general, 'sound? is poorly handled. In this project, we seek to research complex systems that will simulate an object's sound, shape and interaction characteristics in a unified approach. Our ....Sound and Shape Synthesis Using Tensegrity Particle Systems. Pixar's Toy Story amazed audiences with its computer-generated images, yet the sound was still composed and ?tuned? almost wholly by human hand. In industry, virtual reality systems are increasingly applied to simulation and visualisation but, in general, 'sound? is poorly handled. In this project, we seek to research complex systems that will simulate an object's sound, shape and interaction characteristics in a unified approach. Our proposed Tensegrity particle systems generate minimal, stable and robust descriptions of objects in interacting situations. This represents a new and unique approach to the unified representation of multimedia objects with applications in manufacturing and entertainment.Read moreRead less
A clinically valid simulator with tactile sensing to train specialists to perform cochlea implantation. This project aims to create a medical simulation system with tactile sensing for cochlear implant operations. The developed system will provide an opportunity to study cochlear implantation process and examine its effect in a patient before it is carried out. It will be also used to train ENT (Ear, Nose and Throat) specialists in cochlear implantation, thus replacing the current costly and no ....A clinically valid simulator with tactile sensing to train specialists to perform cochlea implantation. This project aims to create a medical simulation system with tactile sensing for cochlear implant operations. The developed system will provide an opportunity to study cochlear implantation process and examine its effect in a patient before it is carried out. It will be also used to train ENT (Ear, Nose and Throat) specialists in cochlear implantation, thus replacing the current costly and non-effective method of using temporal bones.Read moreRead less
Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed b ....Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed by academics. We hypothesise that current 3D relational visualization methods fail because they do not pay attention to the human perception of topology. In this project we will leverage mathematical topology to construct new methods for the 3D visualization of relational data.
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New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive f ....New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive feedback loop in the course of research into both topics.Read moreRead less
Feature Detection and Computer-aided Diagnosis with Longitudinal Tracking of Benign Asbestos-Related Pleural Disease in CT images. This project seeks to develop smart and novel feature extraction and knowledge acquisition techniques to assist radiologists in automated diagnosis and assessment of lung diseases. These outcomes will lead to improved delivery of health services in Australia, including in rural regions. They will lead to more accurate assessment of asbestos related pleural diseases f ....Feature Detection and Computer-aided Diagnosis with Longitudinal Tracking of Benign Asbestos-Related Pleural Disease in CT images. This project seeks to develop smart and novel feature extraction and knowledge acquisition techniques to assist radiologists in automated diagnosis and assessment of lung diseases. These outcomes will lead to improved delivery of health services in Australia, including in rural regions. They will lead to more accurate assessment of asbestos related pleural diseases for compensation and treatment and better followup, leading to earlier treatment and better quality of life for patients suffering from lung diseases. The project will also save costs due to automated assessment as well as the potential for fewer patient scans.Read moreRead less
New Mobile Interface Techniques for Accessing Desktop Applications from Mobile Devices. The mobile data industry is a multi-billion dollar industry and is growing at a rate of seventeen percent per year. The capability to access data and applications from handheld devices is becoming increasingly vital for businesses and transforming business practices. However, while there are a multitude of software applications available for use on desktop computers these typically can't be used from mobile d ....New Mobile Interface Techniques for Accessing Desktop Applications from Mobile Devices. The mobile data industry is a multi-billion dollar industry and is growing at a rate of seventeen percent per year. The capability to access data and applications from handheld devices is becoming increasingly vital for businesses and transforming business practices. However, while there are a multitude of software applications available for use on desktop computers these typically can't be used from mobile devices due to the small form factor. In this project we will develop new mobile interface techniques and methodologies that will allow unaltered desktop software applications to be used from small-form factor mobile devices, via transforming the application interfaces.Read moreRead less
DEVELOPING A SMART FIRE RISK ADVISORY SYSTEM USING FIRE MODELLING AND KNOWLEDGE-BASED SYSTEMS TECHNOLOGIES. This project aims to develop a prototype fire risk advisory system for fire prevention and protection. Intelligent knowledge-based systems technologies will be tailored to provide a standardised approach for fire risk analysis by using collective expertise of fire engineers and fire modelling. This project will lead to a significant advancement to the development of intelligent systems tec ....DEVELOPING A SMART FIRE RISK ADVISORY SYSTEM USING FIRE MODELLING AND KNOWLEDGE-BASED SYSTEMS TECHNOLOGIES. This project aims to develop a prototype fire risk advisory system for fire prevention and protection. Intelligent knowledge-based systems technologies will be tailored to provide a standardised approach for fire risk analysis by using collective expertise of fire engineers and fire modelling. This project will lead to a significant advancement to the development of intelligent systems techniques for industrial applications and provide a better fire risk analysis tool for fire protection and preventions with the benefit of reduced risk for buildings.
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Grid Computing for Phylogenetic Analysis. This interdisciplinary project relates to information technology and bioinformatics, which both can be classified as Frontier Technology in the priority areas outlined by the ARC. Grid computing and using the state-of-art IT technologies to solve grand challenging problems in phylogenetic analysis are forefront research topics in information technology and bioinformatics. The analytical results and new technologies obtained in this project will certainly ....Grid Computing for Phylogenetic Analysis. This interdisciplinary project relates to information technology and bioinformatics, which both can be classified as Frontier Technology in the priority areas outlined by the ARC. Grid computing and using the state-of-art IT technologies to solve grand challenging problems in phylogenetic analysis are forefront research topics in information technology and bioinformatics. The analytical results and new technologies obtained in this project will certainly have significant implications in the relevant areas. New platforms and software developed could have commercial value. It is of great significance that Australia maintains its pioneering position and international reputation in research in Grid computing and its applications.Read moreRead less